Segment Anything

Meta AI's Segment Anything (SAM) has revolutionized image segmentation by moving away from traditional fixed vocabulary models to a dynamic, promptable system that adapts to new image types, unfamiliar objects, and ambiguous scenes without retraining. Introduced in 2023, SAM leverages simple prompts like points, boxes, or text to guide the segmentation process, allowing it to handle diverse visual domains and ambiguous scenes efficiently. The SAM models have evolved through three versions: SAM 1, which provided zero-shot transfer across various domains with its decoupled architecture; SAM 2, which introduced memory-based tracking for video segmentation; and SAM 3, which shifted to concept-level segmentation using language prompts. These advancements are integrated into tools like Roboflow, enabling users to create and deploy vision models swiftly without manual labeling, thus transforming segmentation from a rigid task into a flexible, real-time process applicable to real-world vision challenges.